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- ~Get Your Files Here !/2. Object tracking/27. Optical flow algorithm (sparse) – implementation 2.mp4 133.9 MB
- ~Get Your Files Here !/2. Object tracking/22. Meanshift algorithm - implementation 3.mp4 121.9 MB
- ~Get Your Files Here !/2. Object tracking/21. Meanshift algorithm - implementation 2.mp4 120.1 MB
- ~Get Your Files Here !/2. Object tracking/30. Optical flow dense algorithm – implementation.mp4 111.6 MB
- ~Get Your Files Here !/2. Object tracking/10. Tracking a single object 3.mp4 107.7 MB
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- ~Get Your Files Here !/2. Object tracking/9. Tracking a single object 2.mp4 96.2 MB
- ~Get Your Files Here !/2. Object tracking/25. Optical flow algorithm (sparse) – intuition.mp4 82.3 MB
- ~Get Your Files Here !/2. Object tracking/17. Object detection + object tracking 1.mp4 78.9 MB
- ~Get Your Files Here !/2. Object tracking/28. Optical flow algorithm (sparse) – implementation 3.mp4 76.9 MB
- ~Get Your Files Here !/2. Object tracking/16. Object detection.mp4 71.6 MB
- ~Get Your Files Here !/2. Object tracking/14. Tracking multiple objects 3.mp4 69.5 MB
- ~Get Your Files Here !/2. Object tracking/13. Tracking multiple objects 2.mp4 54.6 MB
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- ~Get Your Files Here !/12. Project Files and Code/code/output/CM_16_weights-018-0.1818.hdf5 93.8 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/3. Setting up the project in Google Colab_Part2.mp4 84.5 MB
- ~Get Your Files Here !/6. Model Building/9. Building a custom CNN network architecture.mp4 79.8 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/4. About Config and Create_Dataset File.mp4 75.9 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/6. Plotting the count of data against each class in each directory.mp4 53.5 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/7. Plotting some samples from both the classes.mp4 49.1 MB
- ~Get Your Files Here !/9. Fitting the Model/2. MobileNetV2 and Custom CNN Model Fitting.mp4 44.7 MB
- ~Get Your Files Here !/11. Using trained model to predict whether a person has Pneumonia/2. Loading an image and predicting using the model whether the person has Pneumonia.mp4 42.1 MB
- ~Get Your Files Here !/10. Model Evaluation/4. Computing the confusion matrix and using the same to derive the accuracy, sensit.mp4 40.2 MB
- ~Get Your Files Here !/2. Data Understanding & Importing Libraries/5. Importing the Libraries.mp4 39.0 MB
- ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/3. Calculating the class weights in train directory.mp4 37.0 MB
- ~Get Your Files Here !/6. Model Building/8. Understanding Conv2D, Filters, Relu activation, Batch Normalization, MaxPooling2.mp4 28.1 MB
- ~Get Your Files Here !/3. Common Methods for plotting and class weight calculation/2. Defining a method to plot training and validation accuracy and loss.mp4 27.1 MB
- ~Get Your Files Here !/4. Data Augmentation/2. Implementing Data Augmentation techniques.mp4 25.8 MB
- ~Get Your Files Here !/5. Data Generators/2. Implementing Data Generators.mp4 24.5 MB
- ~Get Your Files Here !/10. Model Evaluation/1. Predicting on the test data using both MobileNetV2 and Custom CNN Model.mp4 23.4 MB
- ~Get Your Files Here !/8. ModelCheckpoint/2. Implementing Model Checkpoint.mp4 23.0 MB
- ~Get Your Files Here !/6. Model Building/6. Building a new fully-connected (FC) head.mp4 21.3 MB
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